M. Govindarajan^1,*, V. Chandrasekaran², S. Anitha³

Computer Systems Science and Engineering, Vol.40, No.3, pp. 851-863, 2022, DOI:10.32604/csse.2022.019298

Abstract Accurate cellular network traffic prediction is a crucial task to access Internet services for various devices at any time. With the use of mobile devices, communication services generate numerous data for every moment. Given the increasing dense population of data, traffic learning and prediction are the main components to substantially enhance the effectiveness of demand-aware resource allocation. A novel deep learning technique called radial kernelized LSTM-based connectionist Tversky multilayer deep structure learning (RKLSTM-CTMDSL) model is introduced for traffic prediction with superior accuracy and minimal time consumption. The RKLSTM-CTMDSL model performs attribute selection and classification processes for cellular traffic prediction. In… More >

Shidong Nie^1,2,*, Song Ran^1,2, Di Wu^1,2,3, Jieyu Chen^1,2, Hui Wang^1,2, Qike Wei⁴

Journal of Renewable Materials, Vol.10, No.2, pp. 487-510, 2022, DOI:10.32604/jrm.2022.017275

Abstract The Moso bamboo, a renewable green building material used in various new green buildings, have received extensive attention with the promotion of the concept of green buildings. To explore the mechanical properties of Moso bamboo connections with external clamp steel plates, the 16 specimens were designed by changing the bolt diameters and the end distances of the bolt holes. Their static tension tests were conducted to investigate bearing capacities and failure modes of different connection configurations. Based on test results, three failure modes of these connections were obtained, including the shear failure of bolt shank, bearing failure of bolt hole… More > Graphic Abstract

Zhentao Chen¹, Weidong Lu^1,2,*, Yingwei Bao¹, Jun Zhang¹, Lu Wang¹, Kong Yue¹

Journal of Renewable Materials, Vol.10, No.1, pp. 89-104, 2022, DOI:10.32604/jrm.2021.015925

Abstract The timber-concrete composite (TCC) slabs have become a preferred choice of floor systems in modern multi story timber buildings. This TCC slab consisted of timber and a concrete slab which were commonly connected together with inclined self-tapping screws (STSs). To more accurately predict the fire performance of TCC slabs, the mechanical behavior of TCC connections under high temperature was investigated by numerical simulation in this study. The interface slip of TCC connections was simulated by a proposed Finite Element (FE) model at room temperature, and different diameter and penetration length screws were considered. The effectiveness of this FE model was… More > Graphic Abstract

Jianming Zhao^1,2,3,4, Peng Zeng^1,2,3,4,*, Chunyu Chen^1,2,3,4, Zhiwei Dong⁵, Jongho Han⁶

Intelligent Automation & Soft Computing, Vol.30, No.1, pp. 337-350, 2021, DOI:10.32604/iasc.2021.016966

Abstract As networked control systems continue to be widely used in large-scale industrial productions, industrial cyber-attacks have become an inevitable problem that can cause serious damage to critical infrastructures. In practice, industrial intrusion detection has been widely acknowledged to detect abnormal communication behaviors. However, unlike traditional IT systems, networked control systems have their own communication characteristics due to specific industrial communication protocols. Thus, simple cyber-attack modeling is inadequate and impractical for high-efficiency intrusion detection because the characteristics of network control systems are less considered. Based on the status information and transmission connection in industrial communication data payloads, which can properly express… More >

Xiaoli Hao^1,*, Xiaojuan Meng¹, Yueqin Zhang¹, JinDong Xue², Jinyue Xia³

CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2671-2685, 2021, DOI:10.32604/cmc.2021.016856

Abstract In underground mining, the belt is a critical component, as its state directly affects the safe and stable operation of the conveyor. Most of the existing non-contact detection methods based on machine vision can only detect a single type of damage and they require pre-processing operations. This tends to cause a large amount of calculation and low detection precision. To solve these problems, in the work described in this paper a belt tear detection method based on a multi-class conditional deep convolutional generative adversarial network (CDCGAN) was designed. In the traditional DCGAN, the image generated by the generator has a… More >

MIZUNA YANO¹, YUTA UMEHARA¹, TOMOKAZU KUDO¹, TAKAO NAKAMURA², TADASHI KOSAWADA¹, ATSUYOSHI NISHINA³, MASAKI SAZUKA⁴, DAISUKE SATO^1,*, ZHONGGANG FENG^1,*

BIOCELL, Vol.45, No.5, pp. 1213-1229, 2021, DOI:10.32604/biocell.2021.016281

Abstract While fatty acids play essential roles in the physiology of the myocardium, conventional culture media contain little lipid. We previously revealed that rat neonatal myocardium mainly contains docosahexaenoic (DHA), linoleic (LA), and arachidonic (AA) acids as polyunsaturated fatty acids (PUFAs), and these contents in cultured cardiomyocytes derived from fetal rats were markedly lower than those in the neonatal myocardium. In this study, we first assessed the effects of supplementation of DHA, LA, or AA on the fatty acid contents and the percentage change of contractile area in primarily cultured rat cardiomyocytes. Based on this assessment, we then evaluated the effects… More >

Chung-Il Kim¹, Jehyeok Rew², Yongjang Cho², Eenjun Hwang^2,*

CMC-Computers, Materials & Continua, Vol.68, No.3, pp. 3447-3463, 2021, DOI:10.32604/cmc.2021.017633

Abstract Image inpainting is an interesting technique in computer vision and artificial intelligence for plausibly filling in blank areas of an image by referring to their surrounding areas. Although its performance has been improved significantly using diverse convolutional neural network (CNN)-based models, these models have difficulty filling in some erased areas due to the kernel size of the CNN. If the kernel size is too narrow for the blank area, the models cannot consider the entire surrounding area, only partial areas or none at all. This issue leads to typical problems of inpainting, such as pixel reconstruction failure and unintended filling.… More >

Yehan Xu, Zhifu Dong, Chong Jia, Zhiqiang Wang^*, Xiaoning Lu^*

Journal of Renewable Materials, Vol.9, No.9, pp. 1609-1620, 2021, DOI:10.32604/jrm.2021.015193

Abstract

Nail connection is widely used in engineering and construction fields. In this study, bamboo nail was proposed as a novel connector for timber assemblies. Penetration depth of bamboo nail into wood was predicted and tested. The influence of nail parameters (length, radius and ogive radius) on penetration depth were verified. For both tested and predicted results, the penetration depth of bamboo nail increased with the increasing length, radius or ogive radius. In addition, the effect of densification on penetration depth or mechanical properties was evaluated. 1.12 g/cm³ was a critical density when densification was needed, and further increment of density… More >

Amany M. Sarhan¹, Nada M. Elshennawy¹, Dina M. Ibrahim^1,2,*

CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 1531-1549, 2021, DOI:10.32604/cmc.2021.016509

Abstract

Lip reading is typically regarded as visually interpreting the speaker’s lip movements during the speaking. This is a task of decoding the text from the speaker’s mouth movement. This paper proposes a lip-reading model that helps deaf people and persons with hearing problems to understand a speaker by capturing a video of the speaker and inputting it into the proposed model to obtain the corresponding subtitles. Using deep learning technologies makes it easier for users to extract a large number of different features, which can then be converted to probabilities of letters to obtain accurate results. Recently proposed methods for… More >

Elio Caruso¹, Silvia Farruggio^1,*, Davide Calvaruso¹, Corrado Di Mambro¹, David Angel Ortiz Ruiz¹, Salvatore Agati¹, Rafie Khoargami²

Congenital Heart Disease, Vol.16, No.4, pp. 417-425, 2021, DOI:10.32604/CHD.2021.015808

Abstract We show a brief report of two common arterial trunk cases (CAT) with different arrhythmias and discuss anatomy, clinical and diagnostic management. The burden of volume and pressure overload of this cardiac malformation may predispose to different types of arrhythmia before and after surgical repair. Because of labile hemodynamic state in this group of patients, prompt diagnosis of any arrhythmia is mandatory as the devastating factor on prognosis. The first patient with a diagnosis of CAT Type II Collett and Edwards (CE) had a particular history with HIV seropositive mother assuming antiretroviral therapy during pregnancy, who presented hyperbilirubinemia and liver… More >